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Outlier Behavior Detection for Indoor Environment Based on t-SNE Clustering

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Computers, Materials & Continua 2021年第9期68卷 3725-3736页

作者： Shinjin Kang Soo kyun Kim School of Games Hongik UniversitySejong30016Korea Department of Computer Engineering Jeju National UniversityJeju63243Korea

In this study,we propose a low-cost system that can detect the space outlier utilization of residents in an indoor *** focus on the users’app usage to analyze unusual behavior,especially in indoor *** is reflected in the behavioral analysis in that the frequency of using smartphones in personal spaces has recently *** system facilitates autonomous data collection from mobile app logs and Google app servers and generates a high-dimensional dataset that can detect outlier *** density-based spatial clustering of applications with noise(DBSCAN)algorithm was applied for effective singular movement *** analyze high-level mobile phone usage,the t-distributed stochastic neighbor embedding(t-SNE)algorithm was *** two clustering algorithms can effectively detect outlier behaviors in terms of movement and app usage in indoor *** experimental results showed that our system enables effective spatial behavioral analysis at a low cost when applied to logs collected in actual living ***,large volumes of data required for outlier detection can be easily *** system can automatically detect the unusual behavior of a user in an indoor *** particular,this study aims to reflect the recent trend of the increasing use of smartphones in indoor spaces to the behavioral analysis.

关键词： Outlier detection trajectory clustering behavior analysis app data smartphone

Design of Learning Media in Mixed Reality for Lao Education

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Computers, Materials & Continua 2020年第7期64卷 161-180页

作者： Kalaphath Kounlaxay Soo kyun Kim Department of Game Engineering Pai Chai UniversityDaejeon35345Korea Department of Computer Engineering Jeju National UniversityJeju63243Korea

To improve and develop education systems,the communication between instructors and learners in a class during the learning process is of utmost *** the presentations of 3D models using mixed reality(MR)technology can be used to avoid misinterpretations of oral and 2D model *** an independent concept and MR applications,MR combines the excellent of each virtual reality(VR)and augmented reality(AR).This work aims to present the descriptions of MR systems,which include its devices,applications,and literature reviews and proposes computer vision tracking using the AR Toolkit Tracking *** focus of this work will be on creating 3D models and implementing in Unity 3D using the Vuforia SDK platform to develop VR and AR applications for architectural presentations.

关键词： Mixed reality virtual reality augmented reality Vuforia head-mounted displays.

Game Outlier Behavior Detection System Based on Dynamic Time Warp Algorithm

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Computer Modeling in Engineering & Sciences 2022年第4期131卷 219-237页

作者： Shinjin Kang Soo kyun Kim School of Games Hongik UniversitySejong30016Korea Department of Computer Engineering Jeju National UniversityJeju63243Korea

This paper proposes a methodology for using multi-modal data in gameplay to detect outlier *** proposedmethodology collects,synchronizes,and quantifies time-series data fromwebcams,mouses,and *** expressions are varied on a one-dimensional pleasure axis,and changes in expression in the mouth and eye areas are detected ***,the keyboard and mouse input frequencies are tracked to determine the interaction intensity of ***,we apply a dynamic time warp algorithm to detect outlier *** detected outlier behavior graph patterns were the play patterns that the game designer did not intend or play patterns that differed greatly from those of other *** outlier patterns can provide game designers with feedback on the actual play experiences of users of the *** results can be applied to the game industry as game user experience analysis,enabling a quantitative evaluation of the excitement of a game.

关键词： Facial expression recognition webcam behavior analysis affective computing

Winter distribution of diatom assemblages along the coastline of *** in 2010

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Acta Oceanologica Sinica 2022年第6期41卷 68-77页

作者： Joon Sang Park kyun-Woo Lee Seung Won Jung Taek-kyun Lee Hyoung Min Joo Library of Marine Samples Korea Institute of Ocean Science&TechnologyGeoje 53201R.O.Korea Marine Biotechnology Research Center Korea Institute of Ocean Science&TechnologyBusan 49111R.O.Korea Risk Assessment Research Center Korea Institute of Ocean Science&TechnologyGeoje 53201R.O.Korea Unit of Next Generation IBRV Building Program Korea Polar Research InstituteIncheon 21990R.O.Korea

Diatoms are a globally successful and eukaryotic photosynthetic organism with an ornamented silica external *** relationship between their valve morphology and habitat means that diatoms can be used as bioindicators to characterize the aquatic *** estimate the differential distribution and diversity of diatom assemblages along the coastal line,we collected phytoplankton samples from 114 coastal sites of waters of *** applied the unweighted pair-group technique using the arithmetic averages clustering method to cluster the sampling sites,apart from those where the biota consisted of other groups,such as dinoflagellates,into four regions:the Yellow Sea,South Sea,southern East Sea,and northern East *** species analysis in each region led to the selection of tychoplanktonic,chain-forming,attached species to substrates and psychrophilic indicator diatoms,respectively,each of which represented a planktonic lifestyle associated with one of the four *** study shows the diatom assemblages to serve as bioindicators of Korean coastal water in winter,and the subsequent seasonal survey will provide a starting point for the improved understanding of Korean diatom-based ecoregions,in both time and space.

关键词： diatom assemblage indicator species life-form Korean coastal waters species diversity

A time-domain estimation method of rapidly time-varying channels for OFDM-based LTE-R systems

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Digital Communications and Networks 2019年第2期5卷 94-101页

作者： Jin-Kyu Choi Van Due Nguyen Hai nam Nguyen Van Vinh Duong Tien Hoa Nguyen Hanbyeog Cho Hyun-kyun Choi seong-Gyoon Park Smart Mobility Research Department of ETR1 DaejeonSouth Korea School of Electronics and Telecommunicalions HUSTViet Nam Electronics and Telecommunications Research Institute DaejeonSouth Korea School of Information and Communication in KongJu national University South Korea

This paper addresses the performance of fast doubly selective fading channel estimation combined with InterCarrier Interference (ICI) cancellation for Long Term Evolution (LTE) communication platform in the High Speed Railway (HSR) environment. We consider the Channel Impulse Response (CIR) coefficients with a critical Doppler frequency shift and multi-path fading that were taken from the WINNER II channel model and the D2a propagation scenario, where the conditions of HSR are analyzed. As multi-path fading increases and the channel varies in the order of the symbol period, we first propose a novel approach for designing a pilot symbol structure in the time domain. Then, we describe the deployment of the proposed pilot symbol structure to estimate the channel in the time domain. Channel information corresponding to the data positions is obtained by linear interpolation. In each OFDM symbol, the slope and the initial value for establishing an interpolation function are estimated to adapt to the time variation of the channel. An accurate estimate of channel state information is used for the purpose of ICI cancellation. The simulation results show that the channel estimated by our proposed method can follow the real channel well, even in a very high Doppler frequency. The estimation method in terms of Mean Squared Error (MSE) significantly outperforms the state-of-the-art methods. The combination of our channel estimator with several interference cancelers provides a considerably better system performance than that achieved when frequency channel estimation is used.

关键词： ICI cancellation OFDM Channel estimation LTE-R

1.45 GPa ultrastrong cryogenic strength with superior impact toughness in the in-situ nano oxide reinforced CrMnFeCoNi high-entropy alloy matrix nanocomposite manufactured by laser powder bed fusion

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Journal of Materials Science & Technology 2022年第2期97卷 10-19页

作者： Young-kyun Kim Min-Chul Kim Kee-Ahn Lee Department of Materials Science and Engineering Inha UniversityIncheon 22212Republic of Korea Korea Atomic Energy Research Institute(KAERI) Daejeon 34057Republic of Korea

CrMnFeCoNi high-entropy alloys(HEAs)exhibit an excellent combination of tensile strength and ductility at cryogenic *** study led to the introduction of a new method for the development of high-performance CrMnFeCoNi HEAs at cryogenic temperatures by jointly utilizing additive manufacturing(AM)and the addition of interstitial *** interstitial oxygen present in the powder feedstock was transformed into beneficial nano-sized oxides during AM *** HEA nanocomposite fabricated using laser powder bed fusion(L-PBF)not only contains heterogeneous grains and substructures but also a high number density of nano-sized *** tensile results revealed that the L-PBF HEA nanocomposite has superior yield strengths of 0.77 GPa and 1.15 GPa,and tensile strengths of 0.92 GPa and 1.45 GPa at 298 K and 77 K,*** addition,the Charpy impact energies of the samples tested at 298 K and 77 K were measured as 176.2 J and 103.7 J,*** results indicate that the L-PBF HEA nanocomposite successfully overcomes the well-known strength-toughness *** tensile deformation microstructure contained a relatively large number of deformation twins(DTs)at cryogenic temperature,a possible consequence of the decrease in the stacking fault energy with decreasing *** the other hand,cracks were found to propagate along the grain boundaries at room temperature,whereas a transgranular crack was observed at cryogenic temperature in the specimens fractured as a result of the Charpy impact.

关键词： Laser powder bed fusion High-entropy alloy matrix nanocomposite nano-oxide:cryogenic Tensile Impact toughness

Influence of the electrolyte conductivity on the critical current density and the breakdown voltage

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中国化学工程学报:英文版 2023年第7期59卷 169-175页

作者： Hae-kyun Park Dong-Hyuk Park Bum-Jin Chung Department of Nuclear Engineering kyung Hee University 1732 Deogyeong-daeroGiheung-guYongin-siGyeonggi-do 17104Korea

The work investigates influence of the electrolyte conductivity on the onset of partial contact glow discharge electrolysis(CGDE)in a water *** current density(CCD)and breakdown voltage were measured together with in situ observation of hydrogen bubble behavior,whose influence has not been focused *** a fixed current during normal electrolysis,hydrogen coalescence adjacent to cathode surface was invigorated at a lower *** analyses elucidated the hydrogen coalescence characteristics by quantifying size and population of detached hydrogen *** CCD increased about 104% within given range of conductivity(11.50-127.48 mS·cm^(-1))due to impaired bubble coalescence,which delays hydrogen film formation on the ***,decreasing trend of breakdown voltage was measured with increased conductivity showing maximum drop of 74%.It is concluded that onset of partial CGDE is directly affected by hydrodynamic bubble behaviors,whereas the electrolyte conductivity affects the bubble formation characteristics adjacent to cathode electrode.

关键词： Water electrolysis Critical current density Breakdown voltage Electrolyte conductivity Hydrogen bubble behavior

Voice activity detection based on deep belief networks using likelihood ratio

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Journal of Central South University 2016年第1期23卷 145-149页

作者： KIM Sang-kyun PARK Young-Jin LEE Sangmin Department of Electronic Engineering Inha University Incheon 402-751 Korea Korea Electrotechnology Research Institute (KERI) 111 Hanggaul ro Sangrok Gu An-San shi Kyunggi Do 426-170 Korea Institute for Information and Electronics Research Inha University Incheon 402-751 Korea

A novel technique is proposed to improve the performance of voice activity detection(VAD) by using deep belief networks(DBN) with a likelihood ratio(LR). The likelihood ratio is derived from the speech and noise spectral components that are assumed to follow the Gaussian probability density function(PDF). The proposed algorithm employs DBN learning in order to classify voice activity by using the input signal to calculate the likelihood ratio. Experiments show that the proposed algorithm yields improved results in various noise environments, compared to the conventional VAD algorithms. Furthermore, the DBN based algorithm decreases the detection probability of error with [0.7, 2.6] compared to the support vector machine based algorithm.

关键词： voice activity detection likelihood ratio deep belief networks

Public Risk Perception Attitude and Information-Seeking Efficacy on Floods:A Formative Study for Disaster Preparation Campaigns and Policies

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International Journal of Disaster Risk Science 2020年第5期11卷 592-601页

作者： Do kyun David Kim T.Phillip Madison Department of Communication University of Louisiana at LafayetteLafayette.LA 70503USA

Floods are among the most frequent and devastating natural hazards and disasters in many southern states in the United *** study examined the relationship and reciprocal predictability between two theoretical constructs-risk perception attitude(RPA)and informationseeking efficacy(ISE)——in regard to pluvial *** addition,this study extended these theoretical constructs to investigate differences in RPA and ISE among potential audience segments,providing practitioners with applicable insights for designing effective flood prevention and risk management *** of data from 716 residents in south Louisiana revealed a statistically strong relationship between RPA and *** research also identified specific audience segments that would benefit from an increase in RPA and ISE concerning *** meaningful findings infonn a discussion of the theoretical and practical implications of the relationship between RPA and ISE and guide future disaster preparation campaigns and policies.

关键词： Communication campaign Disaster preparation Flood victims Information-seeking efficacy Pluvial flood Risk perception attitude